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Senior Data & AI Strategy Consultant (m/w/d)

  • Hybrid
    • München, Bayern, Germany
  • Data Frameworks

Job description

Company overview: 

Machine Learning Reply provides customized end-to-end solutions around Data and AI that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new data-driven business models as well as optimize existing processes and products - with a focus on open-source and cloud technologies. 

 

At Machine Learning Reply Germany, we support our clients along the entire Data and AI lifecycle. For these projects, we are seeking Senior Consultants with a strong economics and IT background to support the bridge between strategy consulting and data science. 

 

Depending on the project scope and your experience, you may be working as a Strategy Consultant, Business Analyst, or Project Manager / Product Owner. 

 

Responsibilities: 

  • Develop Data Strategies with our clients based on their challenges 

  • Support C-Level decision-making by providing business cases, qualitative assessments, and workshops 

  • Leadan implementation project and communicate with Data Scientists, Data Engineers & Stakeholders 

  • Transform the business on an organizational level to be ready to become data-driven 

  • Analyze and adapt current business processes to make them fit for their purpose 

  • Formulate business needs and translate needs into technological requirements together with Data Scientists and Data Engineers 

  • Develop customer specific Use Cases and guide our client through the entire Use Case lifecycle from creative workshops to implementation 

  • Communicate and present results effectively and confidently to the clients in meetings and workshops with keen attention to detail and overall goal 

  • Advise the client on how data usage is shaping strategic decisions or how artificial intelligence can support the business by opening new fields of operations 

 

What we offer you:  

  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.).  

  • Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science.  

  • Benefit from industry-leading cooperations in the cloud, BI, and AutoML fields.  

  • A very active social program, including training, conferences, team buildings, Reply Exchange, communities of practice, and hackathons.  

  • Work in an open, flat environment within a broad Reply knowledge-sharing network.  

  • Award-winning office space in downtown Munich with access to “Stammstrecke.”  

  • State-of-the-art equipment of your choice.  

  • Public transport ticket with Deutschlandticket.  

  • Gym membership subsidy for a gym of your choice.  

  • Flexible work environment between client, Reply office, and remote work.

Job requirements

Qualifications: 

  • Experience in the area of driving artificial intelligence use cases as well as a good understanding of digitalization of AI & ML business models and their disruptive impact on corporations 

  • Master’s degree and a strong quantitativebackground, for example in Business Informatics, Business Science (with an additional background in Informatics), Computer Science (with additional background in Economics) 

  • At least, 3-5 years of experience in managing IT-related projects 

  • Extensive experience in (agile) project management & cloud technologies 

  • Ability to convincingly communicate results to uppermanagement level 

  • Strong communication and presentation skills  

  • Fluent in English and able to speak German at least at a C1 level 

 

What are you waiting for?  

Join our team at  Machine Learning Reply as a Senior Data and AI Strategy Consultant in Munich

If you have any further questions or would like to apply, please do not hesitate to write directly to Jonas Heepen (j.heepen@reply.de). 

 

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